# terravision

> terravision — patrickchugh-terravision. Use this tool when you need to create professional cloud architecture diagrams from Terraform code or JSON graphs, leveraging official AWS, Azure, and GCP icons. It solves the problem of visualizing complex cloud infrastructures, making it easier to understand and communicate architecture designs. The tool takes in Terraform code or JSON data as input and outputs visually appealing diagrams, ideal for use cases such as cloud migration planning, architecture documentation, and collaboration.

Canonical page: https://skillsregistry.net/skills/patrickchugh-terravision  
JSON: https://api.skillsregistry.net/v1/skills/patrickchugh-terravision

## Description

Professional cloud architecture diagrams with official AWS, Azure and GCP icons, from Terraform code or a plain JSON graph. MCP server + agent skill.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** AGPL-3.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/patrickchugh/terravision)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "patrickchugh-terravision"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/patrickchugh-terravision` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/patrickchugh-terravision/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt